To train Amazon’s developers and data scientists, dive deep into the same machine learning (ML) curriculum used. Originally developed for Amazon’s internal use, we offer 30+ digital ML courses totaling 45+ hours, plus hands-on labs and documentation. To learn how to apply ML, artificial intelligence (AI), and deep learning (DL) to their businesses unlocking new insights and value, developers, data scientists, data platform engineers, and business decision-makers can use this training.
At no cost, start building your ML skills with on-demand, flexible digital training. To fit your specific ML goals with one of our four learning paths, take training designed. To help developers and data scientists prepare for our ML certification, we also created a path designed. The AWS experts and validates in-demand skills required to build and tune data models.
Reskill employees using personalized learning paths: As because the half-life of skills is on the decline, continuous learning at the workplace is essential for the success of a business.
Target eLearning delivery through learner profiling: By applying machine learning algorithms on data, Profiling is done.
Provide virtual instruction through chatbots: The software that’s built using machine learning and artificial intelligence to interact with humans is what chatbot refers to.
Improve eLearning efficiency by predicting learner engagement: It enables you to track how learners interact with the content presented onscreen, with the use of machine learning in eLearning.
Improve the quality of eLearning courses: It is usually in the form of multiple-choice questions (MCQs) when it comes to Assessments in eLearning.
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